Olivier Le Meur

5.4k total citations · 1 hit paper
89 papers, 3.2k citations indexed

About

Olivier Le Meur is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Olivier Le Meur has authored 89 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 26 papers in Cognitive Neuroscience and 26 papers in Human-Computer Interaction. Recurrent topics in Olivier Le Meur's work include Visual Attention and Saliency Detection (58 papers), Image and Video Quality Assessment (27 papers) and Gaze Tracking and Assistive Technology (25 papers). Olivier Le Meur is often cited by papers focused on Visual Attention and Saliency Detection (58 papers), Image and Video Quality Assessment (27 papers) and Gaze Tracking and Assistive Technology (25 papers). Olivier Le Meur collaborates with scholars based in France, China and United States. Olivier Le Meur's co-authors include Christine Guillemot, Zhi Liu, Dominique Barba, Patrick Le Callet, Dominique Thoreau, Thierry Baccino, Patrick Le Callet, Wenbin Zou, Josselin Gautier and Alexandre Ninassi and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Olivier Le Meur

87 papers receiving 3.1k citations

Hit Papers

Image Inpainting : Overview and Recent Advances 2013 2026 2017 2021 2013 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Image Inpainting : Overview and Recent Advances
    2013 384 citations Christine Guillemot, Olivier Le Meur profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Olivier Le Meur France 25 2.9k 713 525 522 353 89 3.2k
Patrick Le Callet France 35 4.2k 1.5× 663 0.9× 174 0.3× 363 0.7× 1.4k 3.9× 253 4.9k
Krista A. Ehinger United States 18 3.5k 1.2× 959 1.3× 421 0.8× 526 1.0× 360 1.0× 76 4.5k
Qi Zhao United States 30 2.0k 0.7× 875 1.2× 217 0.4× 502 1.0× 135 0.4× 105 3.2k
Tilke Judd United States 8 1.9k 0.7× 533 0.7× 446 0.8× 532 1.0× 101 0.3× 10 2.2k
Yael Pritch United States 17 3.8k 1.3× 287 0.4× 444 0.8× 162 0.3× 481 1.4× 31 4.3k
S.S. Hemami United States 27 5.5k 1.9× 582 0.8× 791 1.5× 288 0.6× 1.2k 3.5× 126 5.9k
Alan Chalmers United Kingdom 27 2.2k 0.8× 528 0.7× 122 0.2× 600 1.1× 285 0.8× 255 3.4k
Neil D. B. Bruce Canada 19 1.8k 0.6× 707 1.0× 469 0.9× 443 0.8× 202 0.6× 63 2.5k
L. Itti United States 7 2.1k 0.7× 1.8k 2.5× 594 1.1× 593 1.1× 102 0.3× 17 3.2k
Ali Borji United States 33 6.4k 2.2× 1.6k 2.3× 1.1k 2.0× 884 1.7× 806 2.3× 78 7.0k

Countries citing papers authored by Olivier Le Meur

Since Specialization
Citations

This map shows the geographic impact of Olivier Le Meur's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Olivier Le Meur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Le Meur more than expected).

Fields of papers citing papers by Olivier Le Meur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivier Le Meur. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Olivier Le Meur. The network helps show where Olivier Le Meur may publish in the future.

Co-authorship network of co-authors of Olivier Le Meur

This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Le Meur. A scholar is included among the top collaborators of Olivier Le Meur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Olivier Le Meur. Olivier Le Meur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Demarty, Claire-Hélène, et al.. (2024). How to make images less power-hungry: An objective benchmark study. 1–7.
2.
Meur, Olivier Le, et al.. (2023). Energy-aware images: Quality of Experience vs Energy Reduction. 46–51. 6 indexed citations
3.
Demarty, Claire-Hélène, et al.. (2023). Style-based film grain analysis and synthesis. SPIRE - Sciences Po Institutional REpository. 229–238. 1 indexed citations
4.
Meur, Olivier Le & Claire-Hélène Demarty. (2023). Invertible Energy-Aware Images. IEEE Signal Processing Letters. 30. 1392–1396. 2 indexed citations
5.
Kijak, Ewa, et al.. (2023). HDR-LFNet: Inverse tone mapping using fusion network. Computers & Graphics. 114. 1–12. 1 indexed citations
6.
Cozot, Rémi, et al.. (2022). Deep learning for assessing the aesthetics of professional photographs. Computer Animation and Virtual Worlds. 33(6). 3 indexed citations
7.
Christie, Marc, et al.. (2022). Where to look at the movies: Analyzing visual attention to understand movie editing. Behavior Research Methods. 55(6). 2940–2959. 3 indexed citations
8.
Meur, Olivier Le, et al.. (2020). From Kanner Austim to Asperger Syndromes, the Difficult Task to Predict Where ASD People Look at. IEEE Access. 8. 162132–162140. 9 indexed citations
9.
Meur, Olivier Le, et al.. (2020). Can we accurately predict where we look at paintings?. PLoS ONE. 15(10). e0239980–e0239980. 5 indexed citations
10.
Meur, Olivier Le, et al.. (2019). A Benchmark of Four Methods for Generating 360∘Saliency Maps from Eye Tracking Data. International Journal of Semantic Computing. 13(3). 329–341. 12 indexed citations
11.
Christie, Marc, et al.. (2019). Deep Learning For Inter-Observer Congruency Prediction. HAL (Le Centre pour la Communication Scientifique Directe). 3766–3770. 2 indexed citations
12.
Bouthémy, Patrick, et al.. (2019). CNN-based temporal detection of motion saliency in videos. Pattern Recognition Letters. 128. 298–305. 12 indexed citations
13.
Liu, Zhi, et al.. (2018). RGBD co-saliency detection via multiple kernel boosting and fusion. Multimedia Tools and Applications. 77(16). 21185–21199. 15 indexed citations
14.
Meur, Olivier Le & Antoine Coutrot. (2016). Introducing context-dependent and spatially-variant viewing biases in saccadic models. Vision Research. 121. 72–84. 43 indexed citations
15.
Meur, Olivier Le & Zhi Liu. (2015). Saccadic model of eye movements for free-viewing condition. Vision Research. 116(Pt B). 152–164. 117 indexed citations
16.
Meur, Olivier Le, et al.. (2013). Analysis of patch-based similarity metrics: Application to denoising. 2070–2074. 1 indexed citations
17.
Liu, Zhi, et al.. (2013). Saliency detection using regional histograms. Optics Letters. 38(5). 700–700. 19 indexed citations
18.
Meur, Olivier Le, Josselin Gautier, & Christine Guillemot. (2011). Examplar-based inpainting based on local geometry. 3401–3404. 91 indexed citations
19.
Meur, Olivier Le, et al.. (2010). Modeling visual attention on scenes. HAL (Le Centre pour la Communication Scientifique Directe). 8(4). 150–167. 5 indexed citations
20.
Meur, Olivier Le, Alexandre Ninassi, Patrick Le Callet, & Dominique Barba. (2010). Do video coding impairments disturb the visual attention deployment?. Signal Processing Image Communication. 25(8). 597–609. 36 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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